Developing an optimal river typology for biological elements within the Water Framework Directive

Ian Dodkins; Brian Rippey; Thomas J. Harrington; Catherine Bradley; Bernadette Ni Chathain; Mary Kelly-quinn; Martin Mcgarrigle; Stephanie Hodge; David Trigg

doi:10.1016/j.watres.2005.06.008

Developing an optimal river typology for biological elements within the Water Framework Directive

Ian Dodkins, Brian Rippey, Thomas J. Harrington, Catherine Bradley, Bernadette Ni Chathain, Mary Kelly-quinn, Martin Mcgarrigle, Stephanie Hodge, David Trigg

Research output: Contribution to journal › Article › peer-review

50 Citations (Scopus)

Abstract

The Water Framework Directive requires a river classification based on environmental variables (a typology) to be created as a structure for reporting ecological status. A single permutation procedure, utilising the same variables repeatedly but with different categorical divisions, enabled both the choice of variables and the boundary divisions for these variables to be optimised simultaneously in the development of the typology. This, in addition to a data set which appropriately combined different biological elements, enabled a typology to be developed which was far more effective than a System A, CCA-derived or expert opinion-based typology in segregating communities. This optimal typology could be used to improve the performance of ecological quality assessment methods.

Original language	English
Pages (from-to)	3479-3486
Journal	Water Research
Volume	39
Issue number	15
Early online date	18 Aug 2005
DOIs	https://doi.org/10.1016/j.watres.2005.06.008
Publication status	Published (in print/issue) - 1 Sept 2005

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10.1016/j.watres.2005.06.008

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AU - Bradley, Catherine

AU - Ni Chathain, Bernadette

AU - Kelly-quinn, Mary

AU - Mcgarrigle, Martin

AU - Hodge, Stephanie

AU - Trigg, David

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AB - The Water Framework Directive requires a river classification based on environmental variables (a typology) to be created as a structure for reporting ecological status. A single permutation procedure, utilising the same variables repeatedly but with different categorical divisions, enabled both the choice of variables and the boundary divisions for these variables to be optimised simultaneously in the development of the typology. This, in addition to a data set which appropriately combined different biological elements, enabled a typology to be developed which was far more effective than a System A, CCA-derived or expert opinion-based typology in segregating communities. This optimal typology could be used to improve the performance of ecological quality assessment methods.

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JO - Water Research

JF - Water Research

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Developing an optimal river typology for biological elements within the Water Framework Directive

Abstract

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